RESOURCES
Field notes on connected factories.
Guides, comparisons and definitions for the maintenance, methods and IT teams putting industrial AI to work — written by the people building it, in the same plain, specific register as the product.
The ideas that matter
- IntegrationUnify your factory systems into one queryable layerWhy point-to-point integration never finishes — and what a Knowledge Graph does instead.Read
- AI strategyAdd AI to your CMMS without replacing itAugment vs replace — and the one test that separates a real system from demo-ware.Read
- Knowledge GraphAI agents + Knowledge Graph for maintenanceWhy cross-system root cause needs one agent per source and a graph — and how to evaluate it.Read
Put it to work
- GuidePredictive maintenance in 90 daysStart from the CMMS, SCADA and MES data you already have — before a sensor rollout.Read
- TechnicalIntegrating CMMS, SCADA, MES & ERPArchitecture, connectors, protocols and the security model — for the teams who sign off.Read
- KnowledgeCapture maintenance knowledge before your experts retireMake scattered documents and CMMS fix-history searchable — without a two-year documentation project.Read
- ROIThe real cost of unplanned downtimeModel yours from data you already have — and why time-to-diagnose (MTTR) is the biggest hidden cost.Read
- GlossaryIndustrial AI & maintenance glossaryGMAO/CMMS, preventive vs predictive, OEE/TRS, MES, SCADA, OPC-UA — defined plainly.Open
- DefinitionsHow to calculate OEE — and explain a dropAvailability × Performance × Quality is the easy part. The cause of a drop sits in another system.Read
- ComparisonCMMS or ERP for maintenance?You will end up with both — and the expensive part is the reference problem nobody quotes.Read
- ComplianceAI Act, GDPR & sovereignty for industrial AIThe current timeline after the Digital Omnibus, and what to ask any supplier.Read